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Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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NRC cuts fees by 50 percent for advanced reactor applicants
The Nuclear Regulatory Commission has announced it has amended regulations for the licensing, inspection, special projects, and annual fees it will charge applicants and licensees for fiscal year 2025.
Clinton T. Ballinger, James A. Rathkopf, William R. Martin
Nuclear Science and Engineering | Volume 112 | Number 4 | December 1992 | Pages 283-295
Technical Paper | doi.org/10.13182/NSE92-A23978
Articles are hosted by Taylor and Francis Online.
A new method, response history Monte Carlo (RHMC), has been developed for solving electron transport problems through homogeneous material, and it is more accurate than the conventional method for energies below a few hundred kilo-electron-volts. Since electrons can suffer thousands of collisions and lose only a fraction of their incident energy, analog Monte Carlo (single scatter) is extremely time-consuming. The conventional electron transport method avoids simulating single scattering events by modeling the effect of multiple collisions. This condensed history method requires assumptions that are invalid at lower energies to analytically determine probability distribution functions (pdfs) representing the electron state after multiple collisions. Like the condensed history method, the RHMC method uses an approximate random walk where each step represents the cumulative effect of many collisions. However, the RHMC method is more accurate than the condensed history method since the multiscattered electron state is sampled from pdfs predetermined by analog Monte Carlo calculations instead of approximate analytic solutions.